Parameter Extraction and Complex Nonlinear Transistor Models (Bog, Hardback, Engelsk) af Gunter Kompa
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Parameter Extraction and Complex Nonlinear Transistor Models

(Bog, Hardback, Engelsk)
Forfatter: Gunter Kompa
Forlag: Artech House Publishers

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All model parameters are fundamentally coupled together, so that directly measured individual parameters, although widely used and accepted, may initially only serve as good estimates. This comprehensive resource presents all aspects concerning the modeling of semiconductor field-effect device parameters based on gallium-arsenide (GaAs) and generative adversarial network (GaN) technology. Metal-semiconductor field-effect transistors (MESFETs), high electron mobility transistors (HEMTs) and heterojunction bipolar transistors (HBTs), their structures and functions, and existing transistor models are also classified. The Shockley model is presented in order to give insight into semiconductor field-effect transistor (FET) device physics and explain the relationship between geometric and material parameters and device performance. Extraction of trapping and thermal time constants is discussed. A special section is devoted to standard nonlinear FET models applied to large-signal measurements, including static-/pulsed-DC and single-/two-tone stimulation. High power measurement setups for signal waveform measurement, wideband source-/load-pull measurement (including envelope source-/load pull) are also included, along with high-power intermodulation distortion (IMD) measurement setup (including envelope load-pull). Written by a world-renowned expert in the field, this book is the first to cover of all aspects of semiconductor FET device modeling in a single volume.

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Alle detaljer

Forlag Artech House Publishers
Forfatter Gunter Kompa
Type Bog
Format Hardback
Sprog Engelsk
Udgave Unabridged ed
Udgivelsesdato 31-12-2019
Første udgivelsesår 2019
Originalsprog United States
Sideantal 610
Indbinding Hardback
Forlag Artech House Publishers
Sideoplysninger 610 pages
Mål 188 x 264 x 44
ISBN-13 / EAN-13 9781630817442